AI and Machine Learning for Mechanical and Electrical Engineering

AI and Machine Learning for Mechanical and Electrical Engineering

AI and Machine Learning for Mechanical and Electrical Engineering provides a comprehensive and application-focused exploration of how artificial intelligence and machine learning technologies are transforming modern mechanical and electrical engineering systems.

The book bridges the gap between theoretical AI concepts and real-world engineering applications, demonstrating how intelligent algorithms can be used to enhance system performance, reliability, and decision-making in industrial environments. Through practical examples and case studies, readers gain insight into how data-driven techniques are applied to solve complex engineering problems.

Key topics include fault diagnosis and condition monitoring, predictive maintenance, intelligent control systems, smart grids, renewable energy systems, and the integration of AI with IoT and cyber-physical systems. The book also discusses the use of neural networks, deep learning, evolutionary algorithms, and data fusion techniques for optimizing electromechanical systems.

Designed for mechanical and electrical engineers, researchers, postgraduate students, and industry professionals, this book serves as a valuable reference for those seeking to adopt AI-driven solutions and transition from traditional engineering approaches to intelligent, automated systems.

Size: A4(20*28cm)

Printing: 80 gm – color

Cover: Softcover